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Towards an Operational Design Domain That Supports the Safety Argumentation of an Automated Driving System
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics. Zenuity.ORCID iD: 0000-0001-9020-6501
Autonomous Intelligent Driving.
RISE Research Institute of Sweden.ORCID iD: 0000-0003-4069-6252
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).ORCID iD: 0000-0001-7048-0108
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2020 (English)In: Proceeding of the 10th European Congress on Embedded Real Time Software and Systems, Toulouse, 2020Conference paper, Published paper (Refereed)
Abstract [en]

One of the biggest challenges for self-driving road vehicles is how to argue that their safety cases are complete. The operational design domain (ODD) of the automated driving system (ADS) can be used to restrict where the ADS is valid and thus confine the scope of the safety case as well as the verification. To complete the safety case there is a need to ensure that the ADS will not exit its ODD. We present four generic strategies to ensure this. Use cases (UCs) provide a convenient way providing such a strategy for a collection of operating conditions (OCs) and further ensures that the ODD allows for operation within the real world. A framework to categorise the OCs of a UC is presented and it is suggested that the ODD is written with this structure in mind to facilitate mapping towards potential UCs. The ODD defines the functional boundary of the system and modelling it with this structure makes it modular and generalisable across different potential UCs. Further, using the ODD to connect the ADS to the UC enables the continuous delivery of the ADS feature. Two examples of dimensions of the ODD are given and a strategy to avoid an ODD exit is proposed in the respective case.

Place, publisher, year, edition, pages
Toulouse, 2020.
Keywords [en]
ADS, Automated driving systems, safety, functional safety, operational design domain, ODD, autonomous vehicles
National Category
Embedded Systems
Research subject
Transport Science, Transport Systems
Identifiers
URN: urn:nbn:se:kth:diva-267132OAI: oai:DiVA.org:kth-267132DiVA, id: diva2:1390973
Conference
10th European Congress on Embedded Real Time Software and Systems (ERTS 2020), Jan 2020, TOULOUSE, France
Funder
Vinnova
Note

QC 20200204

Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-02-04Bibliographically approved

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fulltext(590 kB)13 downloads
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Type fulltextMimetype application/pdf

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https://hal.archives-ouvertes.fr/hal-02456077

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Gyllenhammar, MagnusWarg, FredrikChen, DeJiu
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